摘要
EMD滤波算法是一种自适应的算法,该算法由数据驱动,无需事先了解信号的先验知识,且可以处理非平稳及非线性信号。本文在EMD滤波算法的基础上提出了一种改进的算法,该算法特别是在低信噪比的环境下滤波效果较好,在仿真实验中将该算法应用于实测信号,实验结果表明该方法具有优良的滤波特性。
EMD algorithm is an adaptive algorithm, it is driven by data. What＇ s more, there is no need to know the prior knowledge about signal, and it can process nonlinear and non-stationary data. This paper proposes an improved algorithm based on EMD algorithm, the algorithm can filter out the noise perfectly especially in the low SNR environment. In the simulation experiment, we apply the algorithm to the measured signal. The result verifies that the improved algorithm has a good filter property.
关键词
EMD滤波
自适应
低信噪比
EMD filtering Adaptive Signal noise ratio
